# GPU服务器使用说明
## 获取服务器信息
{% embed url="" %}
**使用虚拟容器的服务器：**
* **Dione**
* **Mimas**
* **Tethys**
**其他机器共享宿主操作系统，仅需要查看新建用户这一步，无需查看剩余的说明文档。**
## 新建用户
使用账户addu登陆host，按提示键入用户名及密码。
```bash
ssh addu@172.26.xxx.xxx
# 密码
addu@172.26.xxx.xxx's password:
=====Welcome!
We need to get sudo permission first. Enter the password for `addu`.
# 输入addu的密码，获取sudo权限
[sudo] password for addu:
=====Let's setup a new account and create a container now.
# 输入用户名，接下来自动创建用户并新建虚拟机
Enter your username: test
Creating user...
Allocating container for test...
Creating test
Allocating ssh port... 10020
Device sshproxy added to test
# 设置用户密码
set password for test now (host only).
Enter new UNIX password:
Retype new UNIX password:
passwd: password updated successfully
Login this host via `ssh @` to manage your container.
Done!
```
{% hint style="info" %}
* 新建的用户名请使用自己的**姓名全拼**，如果需要多个账户，请使用<全拼>+<数字>的格式，如`zhangsan2；`
* **妥善保存：新建的用户名，密码，所在服务器。**
{% endhint %}
## 管理容器
使用新建的账户登陆host，按照提示管理自己的container。
```bash
# 使用新建的用户登陆并管理虚拟机
ssh test@172.26.xxx.xxx
test@172.26.xxx.xxx's password:
Welcome to Ubuntu 18.04.2 LTS (GNU/Linux 4.15.0-54-generic x86_64)
……
Hi, test
You're using the GPU Server in Vision Group.
==========About your container:
Your container is not running.
Transfer data to your container using scp or sftp;
File sharing is encouraged, access datasets at shared/datasets, access download files at shared/downloads, etc
See GPU load: nvidia-smi.
memory usage: free -h.
disk usage: df -h.
===== main menu =====
[1] start your container # 开机
[2] enter your container # 切换至虚拟机
[3] stop your container # 关机（也可以直接在虚拟机中执行shutdown now）
[4] change your password # 更改密码（如果需要改虚拟机密码，进入虚拟机后执行passwd）
[5] allocate ports # 进行端口映射
[6] release ports # 释放申请的端口
[0] show info # 显示虚拟机运行状态
[x] exit # 退出管理
# 启动虚拟机
Enter your choice: 1
========== Starting your container...
Press any key to continue...
```
## 使用容器
使用上一步获取的用户名和密码，登入到自己的container。
```bash
# 检查显卡驱动和运行状况
(base) root@test:~# nvidia-smi
Mon Jul 1 14:07:26 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.48 Driver Version: 410.48 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce RTX 208... Off | 00000000:19:00.0 Off | N/A |
| 30% 41C P0 67W / 250W | 0MiB / 10989MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce RTX 208... Off | 00000000:1A:00.0 Off | N/A |
| 30% 51C P0 61W / 250W | 0MiB / 10989MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 2 GeForce RTX 208... Off | 00000000:67:00.0 Off | N/A |
| 31% 51C P0 64W / 250W | 0MiB / 10989MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 GeForce RTX 208... Off | 00000000:68:00.0 Off | N/A |
| 30% 51C P0 1W / 250W | 0MiB / 10986MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
```
## 小结
#### **关于用户权限：**
1. 用户拥有整台机器全部计算资源使用权限，包括全部的CPU、GPU、内存；
2. 用户拥有完整的虚拟机访问权限，默认使用root账户。
#### **关于文件共享：**
1. 为鼓励文件共享，**只有共享目录shared下的文件存放在SSD上**；
2. 共享文件请存放至合适的位置，如数据集存放到datasets；
3. 不要删除别人共享的文件。
#### **关于环境配置：**
1. **请勿在虚拟机内安装显卡驱动，如需重新安装CUDA，请在安装过程中禁止显卡驱动安装；**
2. 已经配置conda及常用深度学习环境；
3. **如果需要安装CUDA，优先使用conda安装；**
4. **如需容器迁移联系管理员。**
共同维护我们的丹炉，祝炼丹愉快！
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